Gram-Schmidt orthogonalization process

Gram-Schmidt orthogonalization process

[¦gram ′shmit ‚ȯr¦thäg·ən·əl·ə′zā·shən ‚präs·əs]
(mathematics)
A process by which an orthogonal set of vectors is obtained from a linearly independent set of vectors in an inner product space.
References in periodicals archive ?
The analogue precoder of MU system is derived from the EGT with the addition of a Gram-Schmidt orthogonalization process. This is based on the intuition that the analogue precoding vector of each column is better to be orthogonal (or nearly orthogonal) according to Remark 1.
The analogue precoding matrix [F.sub.RF] of MU is designed based on EGT method with the addition of a Gram-Schmidt orthogonalization process by maximizing (14).
Low Complexity Hybrid Precoding for Broadband mmWave Massive MIMO Systems
Gram-Schmidt orthogonalization process converts linearly independent vectors into orthogonal vectors [24].
Deep Network Based on Stacked Orthogonal Convex Incremental ELM Autoencoders
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